Comparative Simulation Analysis of Urban Arterial and Auxiliary Roads Connection Type

2013 ◽  
Vol 361-363 ◽  
pp. 1919-1922
Author(s):  
Qian Nan Jiao ◽  
Jian Jun Wang ◽  
Ya Hui Han
Keyword(s):  
Comparative Analysis ◽  
Travel Time ◽  
Traffic Flow ◽  
Simulation Analysis ◽  
Traffic Volume ◽  
Simulation Tool ◽  
Micro Simulation ◽  
Import And Export ◽  
Connection Type ◽  
Urban Arterial

This paper use the different connection type of arterial roads and auxiliary road as the study subject, make the comparative analysis of traffic flow, traffic speed, distance of the import and export and ratio of weaving traffic flow in weaving area, then use the micro-simulation tool VISSIM to analysis the traffic volume and travel time of different connection type and offer related suggestions for their respective adaptability.

Impact Analysis of Different Bus Lane Layout Form to Traffic Efficiency

2014 ◽  
Vol 587-589 ◽  
pp. 2230-2233
Author(s):  
Qian Nan Jiao ◽  
Jian Jun Wang ◽  
Teng Fei Zhang
Keyword(s):  
Comparative Analysis ◽  
Travel Time ◽  
Traffic Flow ◽  
Flow Rate ◽  
Impact Analysis ◽  
Traffic Volume ◽  
Simulation Tool ◽  
Traffic Efficiency ◽  
Micro Simulation ◽  
Bus Lane

This paper use the different layout forms of bus lanes as the study subject, useing the micro-simulation tool VISSIM to comparative analysis different layout forms’ passing traffic volume and travel time in the different traffic volume、traffic flow rate conditions. And offer related suggestions of respective forms’ adaptability.

Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis

2020 ◽  
Vol 14 (12) ◽  
pp. 1524-1533 ◽  
Author(s):  
Xinzhi Zhong ◽  
Yajie Zou ◽  
Zhi Dong ◽  
Shaoxin Yuan ◽  
Muhammad Ijaz
Keyword(s):  
Travel Time ◽  
Survival Model ◽  
Finite Mixture ◽  
Passenger Cars ◽  
Urban Arterial

Analysis on an Effect from the Build-up of Incident Management System

2011 ◽  
Vol 271-273 ◽  
pp. 651-656
Author(s):  
Sung Han Lim
Keyword(s):  
Cost Analysis ◽  
Travel Time ◽  
Management System ◽  
Social Cost ◽  
Simulation Analysis ◽  
Operation Time ◽  
Incident Management ◽  
The Road ◽  
Vehicle Operation ◽  
On The Road

If an incident occurs on the road, the normal flow of traffic stream is interrupted and the road capacity reduces. This thus leads to huge social, economical losses, such as traffic congestion, air pollution, etc. This study was conducted to examine an effect on an incident management system by carrying out an simulation analysis and an social cost analysis. For the simulation analysis, incidents in a normal situation were compared with those in an incidental situation and thus travel time, queue length, and accident duration were selected as an evaluation indicator. It was analyzed that after an incident situation occurs, the length of vehicle in waiting rapidly increases and thus travel time also largely increases. To make an social cost analysis, vehicle operation cost (VOC) and vehicle operation time (VOT) were used an index. The results showed that travel time cost per driver and vehicle in an incidental situation all increased, compared with that in a normal situation. It was also observed that the longer the lasting hours are, the higher the travel time increases.

scholarly journals EVALUATING THE EFFECT OF HEAVY VEHICLES ON TRAFFIC PARAMETERS BY USING HEAVY VEHICLE FACTOR

2018 ◽  
Vol 6 (4) ◽  
pp. 95-104
Author(s):  
Parthkumar Patel ◽  
H.R. Varia
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Freight Transport ◽  
Heavy Vehicle ◽  
Mixed Traffic ◽  
Heavy Vehicles ◽  
Highway Traffic ◽  
Ideal Situation ◽  
The Impact

Safe, convenient and timely transportation of goods and passengers is necessary for development of nation. After independence road traffic is increased manifold in India. Modal share of freight transport is shifted from Railway to roadways in India. Road infrastructures continuously increased from past few decades but there is still need for new roads to be build and more than three forth of the roads having mixed traffic plying on it. The impact of freight vehicles on highway traffic is enormous as they are moving with slow speeds. Nature of traffic flow is dependent on various traffic parameters such as speed, density, volume and travel time etc. As per ideal situation these traffic parameters should remain intact, but it is greatly affected by presence of heavy vehicle in mixed traffic due to Svehicles plying on two lane roads. Heavy vehicles affect the traffic flow because of their length and size and acceleration/deceleration characteristics.  This study is aimed to analyse the impact of heavy vehicles on traffic parameters.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

Exploring Multiplier Effects Generated by Bus Lane Combinations

2015 ◽  
Vol 2533 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Long Tien Truong ◽  
Majid Sarvi ◽  
Graham Currie
Keyword(s):  
Travel Time ◽  
Traffic Volume ◽  
Policy Implications ◽  
Future Research ◽  
Negative Effects ◽  
Bus Priority ◽  
Traffic Lane ◽  
Multiplier Effect ◽  
Bus Lane ◽  
Multiplier Effects

Numerous studies have explored design and evaluation of bus lane priority by using empirical, analytical, and simulation approaches. However, none attempted to understand how different bus lane combinations, such as continuous and discontinuous bus lane sections, and a different number of bus lane sections, affect bus performance and general traffic. This paper investigates operational effects of bus lane combinations to establish whether multiple bus lane sections create a multiplier effect in which a series of continuous bus lane sections creates more benefits than several single-lane sections. If a multiplier effect exists, it suggests scale economies in wider implementation of bus priority on a networkwide scale. Overall, results confirm that there is a multiplier effect; thus bus travel time benefits and general traffic travel time disbenefits are proportional to the number of links with a bus lane. The effect suggests a constant return to scale on continuous multiple sections. The results also suggest that converting a traffic lane to a bus lane when the upstream traffic volume exceeds the capacity of the remaining traffic lanes causes significant negative effects for buses and general traffic. In addition, negative general traffic effects of continuous bus lane combinations are lower than those for a similar number of discontinuous bus lanes. Bus delays at intersections approaching the bus lane tend to improve when upstream traffic volume does not exceed the capacity of remaining downstream traffic lanes. Policy implications and areas for future research are suggested.

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